With the increasing sophistication of image processing algorithms, and because of its low computation complexity, convolution should fully benefit from the ever-increasing capacities of state-of-the-art graphics processing units, such as Nvidia's Kepler and Maxwell family cards. Currently, it tends to be used as a preprocessing stage within more intricate image manipulations and has recently been implemented quite efficiently by several teams. However, either their implementations do not come near hardware's peak performance or are unable to process large mask sizes. Such limitations are overrun by our original parallel register-only convolution filter implementation of two-dimensional convolution filters that can process 32-bit floating-po...
The research domain of Multimedia Content Analysis (MMCA) considers all aspects of the automated ext...
Image convolution is a common algorithm that can be found in most graphics editors. It is used to fi...
The bulks of image processing algorithms are either two-dimensional (2D) or confined by their very n...
With the increasing sophistication of image processing algorithms, and because of its low computatio...
International audienceAttaining the best possible throughput when computing convolutions is a challe...
2-D convolution has been used as a subsystem for filtering and enhancement in a wide range of signal...
Computing many small 2D convolutions using FFTs is a basis for a large number of applications in man...
Note:One of the most commonly used algorithms in image processing is certainly the two dimensional (...
This paper studies the performance of separable 2D convolution on multi-lane Polymorphic Register Fi...
In this paper, we describe our work on providing a generic yet optimized GPU (CUDA/OpenCL) implement...
Two-dimensional convolution is one of the basic operations in image processing, where it is used as ...
Abstract. Convolution is a very important operation within artificial vision. It can be characterize...
Two-dimensional (2-D) convolution is a common operation in a wide range of signal and image processi...
The Bachet weight decomposition method is used to design a new 2D convolution-based filter, specific...
International audienceConvolution is an important operation in image processing applications, such a...
The research domain of Multimedia Content Analysis (MMCA) considers all aspects of the automated ext...
Image convolution is a common algorithm that can be found in most graphics editors. It is used to fi...
The bulks of image processing algorithms are either two-dimensional (2D) or confined by their very n...
With the increasing sophistication of image processing algorithms, and because of its low computatio...
International audienceAttaining the best possible throughput when computing convolutions is a challe...
2-D convolution has been used as a subsystem for filtering and enhancement in a wide range of signal...
Computing many small 2D convolutions using FFTs is a basis for a large number of applications in man...
Note:One of the most commonly used algorithms in image processing is certainly the two dimensional (...
This paper studies the performance of separable 2D convolution on multi-lane Polymorphic Register Fi...
In this paper, we describe our work on providing a generic yet optimized GPU (CUDA/OpenCL) implement...
Two-dimensional convolution is one of the basic operations in image processing, where it is used as ...
Abstract. Convolution is a very important operation within artificial vision. It can be characterize...
Two-dimensional (2-D) convolution is a common operation in a wide range of signal and image processi...
The Bachet weight decomposition method is used to design a new 2D convolution-based filter, specific...
International audienceConvolution is an important operation in image processing applications, such a...
The research domain of Multimedia Content Analysis (MMCA) considers all aspects of the automated ext...
Image convolution is a common algorithm that can be found in most graphics editors. It is used to fi...
The bulks of image processing algorithms are either two-dimensional (2D) or confined by their very n...